Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction
Accurate short-term wind power forecasting is essential for grid stability and operational planning, yet remains challenging due to the complex interactions between atmospheric conditions and turbine dynamics. However, existing methods fail to effectively incorporate weather forecasting with wind turbine data (i.e., SCADA), leading to suboptimal solutions. To address this, we introduce a multimodal framework that integrates historical point-based SCADA data with grid-based Numerical Weather Prediction (NWP) forecasts, which is challenging due to heterogeneous input and the complex physical win
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- FuzzyOverlapping authors or contributors · 62%DietrichGebert/ponytail →
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- FuzzyOverlapping authors or contributors · 62%modular/modular →
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- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
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- FuzzySimilar title/name (fuzzy) · 59%amazon-science/chronos-forecasting →
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- LinkedLinked via arxiv author · 85%Shiyuan Piao →
“Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction”
- LinkedLinked via arxiv author · 85%Fan Zehui →
“Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction”
- LinkedLinked via arxiv author · 85%Tianyang Liu →
“Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction”
- LinkedLinked via arxiv author · 85%Hong Cheng →
“Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction”